IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i14p7350-d591375.html
   My bibliography  Save this article

A Cumulative Muscle Index and Its Parameters for Predicting Future Cognitive Decline: Longitudinal Outcomes of the ASPRA Cohort

Author

Listed:
  • Ji-Yeon Baek

    (Division of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea)

  • Eunju Lee

    (Division of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea)

  • Woo Jung Kim

    (Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Korea)

  • Il-Young Jang

    (Division of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea)

  • Hee-Won Jung

    (Division of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea)

Abstract

Sarcopenia and cognitive decline share the major risk factors of physical inactivity; previous studies have shown inconsistent associations. We aimed to identify the association of sarcopenia and its parameters with cognitive decline. The 3-year longitudinal outcomes of 1327 participants from the Aging Study of the Pyeongchang Rural Area (ASPRA) cohort were analyzed. Cognitive performance was evaluated using the Mini-Mental State Examination (MMSE), and sarcopenia was defined by the following: the original and revised Asian Working Group for Sarcopenia (AWGS), the original and revised European Working Group on Sarcopenia in Older People (EWGSOP), and the Cumulative Muscle Index (CMI), a novel index based on the number of impaired domains of sarcopenia. Approximately half of the participants showed meaningful cognitive decline. Sarcopenia by the original EWGSOP and the CMI were associated with cognitive decline. Only the CMI showed consistent predictability for cognitive impairment even with different criteria of the MMSE score (OR 1.23 [1.04–1.46]; OR 1.34 [1.12–1.59]; OR 1.22 [1.01–1.49], using the 1, 2, and 3 cut-off value, respectively). Of the CMI parameters, gait speed was satisfactorily predictive of 3-year cognitive impairment (OR 0.54 [0.30–0.97]). In conclusion, sarcopenia based on the CMI may be predictive of future cognitive impairment. Gait speed was the single most important indicator of cognitive decline.

Suggested Citation

  • Ji-Yeon Baek & Eunju Lee & Woo Jung Kim & Il-Young Jang & Hee-Won Jung, 2021. "A Cumulative Muscle Index and Its Parameters for Predicting Future Cognitive Decline: Longitudinal Outcomes of the ASPRA Cohort," IJERPH, MDPI, vol. 18(14), pages 1-10, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7350-:d:591375
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/14/7350/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/14/7350/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miji Kim & Chang Won Won, 2019. "Sarcopenia Is Associated with Cognitive Impairment Mainly Due to Slow Gait Speed: Results from the Korean Frailty and Aging Cohort Study (KFACS)," IJERPH, MDPI, vol. 16(9), pages 1-18, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Igor Cigarroa & María José Espinoza-Sanhueza & Nicole Lasserre-Laso & Ximena Diaz-Martinez & Alex Garrido-Mendez & Carlos Matus-Castillo & María Adela Martinez-Sanguinetti & Ana Maria Leiva & Fanny Pe, 2020. "Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016–2017," IJERPH, MDPI, vol. 17(15), pages 1-10, July.
    2. K. Ramoo & Noran N. Hairi & A. Yahya & W. Y. Choo & F. Mohd Hairi & D. Peramalah & S. Kandiben & A. Bulgiba & Z. Mohd Ali & I. Abdul Razak & N. Ismail & N. S. Ahmad, 2022. "Longitudinal Association between Sarcopenia and Cognitive Impairment among Older Adults in Rural Malaysia," IJERPH, MDPI, vol. 19(8), pages 1-11, April.
    3. Cheng-En Wu & Kai Way Li & Fan Chia & Wei-Yang Huang, 2022. "Interventions to Improve Physical Capability of Older Adults with Mild Disabilities: A Case Study," IJERPH, MDPI, vol. 19(5), pages 1-11, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7350-:d:591375. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.